DD
MM
YYYY

PAGES

DD
MM
YYYY

spot_img

PAGES

Home Blog Page 7

Anthropic’s Second Major Leak in Days Exposes Internal Source Code for Breakout Claude Code Tool

0

Anthropic has suffered another embarrassing operational slip, confirming Tuesday that it inadvertently released a substantial chunk of internal source code for its popular AI coding assistant, Claude Code.

The exposure occurred through a source map file bundled into version 2.1.88 of the tool’s npm package, a debugging artifact that effectively unminifies the production code and maps it back to its original TypeScript structure. The file contained roughly 512,000 lines spanning about 1,900 separate modules, offering an unusually granular view into how the agentic system orchestrates complex developer tasks.

Anthropic moved quickly to yank the package from distribution. In a statement, the company stressed that “no sensitive customer data or credentials were involved or exposed.” A spokesperson described the incident as “a release packaging issue caused by human error, not a security breach,” and said the firm is already rolling out additional safeguards to prevent recurrence.

The code did not include the underlying large language model weights or training data, but it has already been mirrored widely on GitHub, where it has drawn tens of thousands of forks and stars within hours. Developers and researchers are now sifting through it for clues about unreleased capabilities, including what appears to be a Tamagotchi-style virtual pet that reacts to coding activity, references to an always-on background agent codenamed “KAIROS,” and detailed insights into the tool’s memory architecture and task-orchestration logic.

One internal comment even flagged the added complexity of a memoization technique whose performance payoff remained uncertain.

This marks Anthropic’s second high-profile data mishap in less than a week. Just days ago, thousands of unpublished internal documents, including a draft announcement for the company’s powerful next-generation model, referred to internally as both Claude Mythos and Capybara, were discovered sitting in a publicly accessible data cache.

Founded in 2021 by a group of former OpenAI executives and researchers, Anthropic has carefully cultivated an image as the more deliberate, safety-focused player in the frontier AI race. Yet these successive lapses are testing that reputation at a moment when the company is scaling rapidly and generating serious revenue.

Claude Code, rolled out to the general public last May, has become one of the breakout products in the agentic AI category. It helps developers write features, debug code, automate repetitive tasks, and even manage entire workflows.

Adoption has been explosive. By February, the tool’s annualized run-rate revenue had climbed above $2.5 billion, more than double the level at the start of the year, with enterprise and business subscriptions leading the surge. Some analysts estimate that it now accounts for a meaningful share of all public GitHub commits.

That success has, predictably, drawn intense competition. OpenAI, Google, and Elon Musk’s xAI have all accelerated work on rival coding agents, turning the space into one of the most fiercely contested battlegrounds in artificial intelligence.

The leak is particularly awkward for Anthropic because Claude Code has always been positioned as closed-source. While the exposed material does not hand over the crown jewels of the underlying model, it does provide competitors and the broader developer community with a detailed roadmap of the agent’s inner workings — how it handles context windows, maintains long-term memory, coordinates multi-step reasoning, and manages tool use.

In an industry where every incremental edge matters, that kind of visibility could shave weeks or months off rival development cycles.

The incident also highlights the growing pains of hyper-growth AI startups. Even a company that markets itself on caution and rigorous processes can stumble when shipping complex software at breakneck speed.

Enterprise customers who pay premium prices for Claude Code precisely because of its perceived reliability and security may now be asking tougher questions about internal controls.

Anthropic has built its brand on responsible development and careful deployment. These back-to-back operational slips risk undermining that narrative just as the company prepares for what could be one of the most anticipated public offerings in the AI sector.

The leaks may prove minor in the grand scheme; neither appears to have been a malicious breach. But they feed a narrative that even the most disciplined labs can be tripped up by basic execution errors in the rush to stay ahead.

Developers who pulled the affected package have been advised to switch to Anthropic’s native installer and review any locally cached repositories. In the meantime, the AI community is already dissecting the exposed code with the kind of enthusiasm usually reserved for major open-source drops.

For a company whose entire value proposition rests on trust, precision, and superior execution, Tuesday’s episode is more than a technical footnote. Anthropic now faces the task of proving these incidents are isolated growing pains rather than symptoms of something deeper.

Jim Cramer: Three Ways the Stock Market Could Flip When the U.S.-Iran War Ends

0

Tuesday’s rally on Wall Street may have been more than a fleeting burst of optimism. It may well have offered investors a preview of how markets are likely to reprice once the U.S.-Iran war finally winds down.

That is the central thesis advanced by CNBC’s Jim Cramer, who argued that the trading session effectively served as a “dry run” for a post-war market environment. The move in equities, bonds, and commodities strongly supports that view.

The S&P 500 climbed 2.91 per cent, while the Nasdaq Composite surged 3.83 per cent, as traders responded to signs that hostilities in the Middle East could ease. The rally followed reports that President Donald Trump had told aides the conflict may end within weeks, fueling hopes that one of the biggest geopolitical risk overhangs on global markets could soon begin to fade.

“Today we saw what would happen when you give peace a chance,” Cramer said. “Maybe this dialogue with Iran is really nothing more than an exchange of messages. Maybe it’s meaningless. So, consider today a dry run of what will ultimately occur when the war winds down.”

More importantly, the market reaction revealed where investors are likely to rotate capital once the war premium starts to unwind.

The first and perhaps most immediate shift would be in the bond market.

Treasury yields, particularly the benchmark 10-year note, have been elevated for much of the conflict as markets priced in inflation risks tied to soaring oil prices, disrupted supply chains, and reduced expectations of Federal Reserve rate cuts. On Tuesday, yields edged lower as optimism over de-escalation prompted traders to pare back those inflation bets.

This is critical because the war’s inflation impact has extended far beyond crude prices.

The disruption of flows through the Gulf has lifted the cost of fertilizers, petrochemicals, aluminum feedstock, and industrial plastics, all of which feed into consumer prices through food, manufacturing, and transport channels. A reopening of the Strait of Hormuz or even a credible path toward de-escalation would likely ease these pressures and bring yields down further.

That, in turn, would materially alter the valuation environment for equities.

“They [will] go down noticeably,” Cramer said of rates. “They go down because we now realize that there’s a huge amount of inflation stemming from the war. Not just from oil going higher – we saw that at the pump – but from the ancillary products that came out of the Gulf: fertilizer, polyethylene and aluminum.”

He continued, “We didn’t know going into the war that our farmers were gonna need to raise prices to us because the price of fertilizer would go much higher. You allow the fertilizer to come back down, you stop the pernicious food inflation.”

The second major shift Cramer points to is a sharp comeback in growth stocks, and Tuesday’s session already provided a glimpse of that rotation.

“Money managers believe that price-to-earnings multiples — how much we’ll pay for a company’s earnings – have been horribly compressed by the war,” Cramer added. “If the war’s over, we’ll start paying more for the stocks of companies that were never gonna skip a beat to begin with.”

Large-cap technology names and AI-linked semiconductor stocks led the advance as investors moved back into duration-sensitive assets. This is a textbook response to falling yields.

When rates move lower, future earnings become more valuable in present-value terms, which typically supports higher price-to-earnings multiples for growth companies. During the war, many of these names have seen valuation compression not necessarily because of deteriorating fundamentals, but because the macro backdrop had turned hostile.

Once geopolitical stress begins to ease, attention returns to earnings momentum, AI demand, and capital expenditure cycles. That is why the market reaction in names tied to artificial intelligence infrastructure has been so pronounced.

What investors are effectively doing is pre-positioning for a return to a lower-rate, higher-multiple environment.

The third leg of the post-war trade is likely to be financials, particularly large investment banks.

Major lenders and dealmakers rallied strongly during the session, reflecting expectations that an end to hostilities would revive corporate activity, mergers and acquisitions, debt issuance, and public listings.

War and geopolitical instability tend to freeze risk appetite at the corporate level.

Boardrooms delay strategic decisions, capital raises are deferred, and deal pipelines slow materially. Once that uncertainty lifts, investment banks are among the first sectors to benefit as advisory mandates, trading revenues, and underwriting activity begin to recover.

This makes financials one of the clearest cyclical beneficiaries of a peace-driven market reset.

What makes this analysis more compelling is that the relief rally was not confined to U.S. equities.

Global stocks also moved higher, while oil prices eased on hopes that supply disruptions may not persist indefinitely. Reuters reported that Wall Street ended higher on speculation that the conflict could wind down, reinforcing the idea that investors are already beginning to price in a peace scenario.

Still, caution remains warranted.

Markets have shown a tendency in recent weeks to rally on unconfirmed headlines around diplomacy, only to reverse when tensions re-escalate. As some analysts have warned, investors may be celebrating signals that have yet to translate into concrete diplomatic progress.

That said, Tuesday’s session was revealing.

It showed that once the war premium starts to fade, the market’s likely path is clearer: lower yields, stronger technology valuations, revived financial stocks, and a broader return of risk appetite.

In effect, Wall Street may already have shown its hand.

Bank of England’s Bailey warns investors not to count on UK rate hikes

0

Bank of England Governor Andrew Bailey on Wednesday cautioned investors against getting carried away with expectations of near-term interest rate hikes, arguing that financial markets are moving ahead of policymakers as Britain grapples with the economic fallout from the Iran war.

In an interview with Reuters at the central bank’s London headquarters, Bailey made clear that while the Bank remains prepared to tighten policy if inflation risks intensify, its immediate priority is to avoid compounding the damage already being inflicted on growth and employment by the surge in global energy prices.

The remarks amount to the clearest signal yet that the Monetary Policy Committee is in no rush to validate market expectations for multiple rate increases this year, even as the conflict in the Middle East continues to fuel fresh inflationary pressures through higher oil and gas costs.

“We will have to, obviously, act on monetary policy if we think it’s appropriate to do so,” Bailey said. “But it strikes me, and it still strikes me today, that the most important thing to do is to tackle the source of the shock.”

He added that the Bank’s inflation mandate requires it to respond in a way that “causes the least damage in terms of activity in the economy and in terms of jobs,” underscoring a growing concern within Threadneedle Street that an aggressive policy response to imported inflation could deepen an already weakening domestic economy.

Markets had been pricing in as many as four rate hikes earlier in the crisis and are still factoring in two increases before year-end. Bailey, however, suggested those expectations are excessive.

“(The market)’s still pricing us to raise rates … I think they’re getting ahead of themselves,” he said.

The comments briefly lifted British government bond prices as traders pared back bets on imminent tightening. In a swift response, JPMorgan revised its forecast, now expecting only one Bank of England rate hike in 2026, likely in June, rather than the previously anticipated moves in April and July.

The Bank last month voted unanimously to keep the benchmark Bank Rate unchanged at 3.75%, a notable shift from earlier divided votes that had exposed internal debate over whether easing should resume. The unanimous hold reflected the extraordinary uncertainty unleashed by the war and the sharp repricing of global energy markets. The next MPC decision is due on April 30.

Bailey’s intervention highlights the difficult balancing act facing the central bank.

On one side is inflation, now expected to rise to 3.5% in the third quarter of 2026, well above the BoE’s 2% target, largely because of the jump in oil and gas prices following supply disruptions in the Middle East. On the other is a visibly softening economy, where labor market conditions are deteriorating, and business demand remains weak.

Britain is especially vulnerable to the inflation shock because of its heavy dependence on natural gas for electricity generation and household heating. The Bank has already warned that the conflict has heightened broader financial stability risks, from sovereign debt markets to private credit and leveraged funds.

Bailey said policymakers are watching a recent jump in household inflation expectations “very carefully,” but stressed that conversations with businesses suggest limited pricing power across the economy.

“Businesses consistently say to me that they’re operating in a context of an absence of pricing power,” he said.

That assessment significantly suggests firms may struggle to fully pass rising energy costs on to consumers, potentially limiting second-round inflation effects that would ordinarily justify tighter monetary policy.

While some pass-through is still expected, Bailey noted that the present environment differs markedly from the inflation surge triggered by Russia’s invasion of Ukraine in 2022, when demand conditions were stronger, and firms had greater scope to raise prices.

“The context at the moment is of a softening labor market,” he said. “We think activity is a bit below potential, so a bit of an output gap is opening up.”

That widening output gap, a classic sign of spare capacity in the economy, may strengthen the case for patience rather than pre-emptive tightening.

Bailey also invoked comments made by former Governor Mervyn King during the 2011 inflation spike, when the Bank argued that policy should absorb supply-side shocks in a way that minimizes harm to households and businesses.

The implication is that the BoE may be willing to tolerate above-target inflation for longer if it judges the shock to be externally driven and temporary, rather than rooted in domestic wage-price dynamics.

Visa deploys AI tools to Overhaul Costly Credit-card Dispute System as Chargebacks Surge

0

Visa Inc. is rolling out six artificial intelligence-powered tools aimed at overhauling the cumbersome process of disputing credit-card charges, as the payments giant moves to curb rising costs, reduce fraud losses, and ease one of the most persistent friction points in digital commerce.

The move comes as charge disputes continue to climb across the global payments ecosystem, driven by the boom in e-commerce transactions, subscription services, and what the industry often calls “friendly fraud” — cases in which legitimate cardholders contest charges they later claim not to recognize.

The company said it processed 106 million disputes worldwide in 2025, representing a 35% increase from 2019, underscoring the mounting operational burden on banks, merchants, and payment processors.

Visa’s latest product suite is designed to replace what executives describe as an outdated, heavily manual back-office system that has struggled to keep pace with the scale and complexity of modern payments.

“Some of the challenges are these back-office systems are still largely manual,” Andrew Torre, president of Visa’s value-added services division, told CNBC. “We really had to think differently about how we approach this at scale.”

The initiative marks another significant step in the financial industry’s accelerating adoption of AI, with major lenders and payment firms increasingly embedding the technology into both internal operations and customer-facing services.

Banks, including JPMorgan Chase & Co. and Goldman Sachs, have already disclosed broader use of AI across staffing, compliance, and workflow functions, while BNY said it spent $3.8 billion on technology in 2025, equivalent to nearly a fifth of revenue.

For Visa, the dispute-resolution business has become strategically important as payment networks seek to diversify beyond transaction-processing fees into higher-margin software and enterprise services.

Three of the newly launched tools are targeted at merchants, enabling them to intervene before disputes formally escalate into chargebacks.

Among them is an enhanced version of Order Insight, which provides more detailed transaction-level information to banks and cardholders, helping consumers identify charges that may initially appear unfamiliar on account statements. This is aimed squarely at one of the most common sources of disputes: customers failing to recognize merchant descriptors or delayed settlement entries.

Another tool automates merchant responses using generative AI, helping businesses draft representment cases more quickly while also using predictive scoring to assess the probability of winning a dispute.

The remaining three tools are designed for issuing banks and acquiring institutions.

These include predictive AI systems that analyze disputes on a case-by-case basis using Visa’s network-wide transaction data, document-analysis tools that summarize merchant evidence and automatically populate case files, and a centralized dispute management platform that consolidates workflows from intake to resolution.

According to Visa, the objective is to move financial institutions away from a reactive claims-handling model toward a more preventive and data-driven framework.

“We’ll be able to get them insights and data so they can move from being reactive to proactive,” Torre said.

That shift could prove especially important as fraud-related losses and administrative expenses continue to rise across the payments chain.

Industry analysts say disputes now represent not only a customer-service issue but a direct revenue challenge for merchants, who often absorb fees, lost sales, and operational costs each time a chargeback is filed. Visa’s own framing suggests the company sees AI as a tool not merely for efficiency, but for protecting margins across its ecosystem of banks and merchants.

The launch also fits into Visa’s broader strategy of building AI-enabled financial infrastructure. Over the past year, the company has expanded its investment in AI-led payment automation, including tools that help consumers manage recurring subscriptions and emerging systems designed to support AI-driven commerce.

Last week, Visa introduced a subscription management feature that allows cardholders to cancel unwanted recurring payments directly, another attempt to reduce the kinds of consumer confusion that often lead to disputes.

Most of the newly announced tools are expected to become generally available later this year, with some merchant-focused services scheduled for broader rollout toward late 2026.

For the payments industry, the significance of the launch extends beyond workflow automation. As digital transactions become more complex and fraud techniques more sophisticated, Visa is effectively positioning AI as the control layer for trust, verification, and dispute resolution across its global network.

“We really believe that disputes in this solution makes it much easier to manage and resolve,” Torre said. “We think it has better outcomes for everyone.”

Google’s Quantum AI Team With Co-Authors from Stanford and Ethereum Foundation Publish a Security Report

0

Google’s Quantum AI team with co-authors from Stanford and the Ethereum Foundation published a Quantum Security Report. It analyzes the resources needed for a cryptographically relevant quantum computer (CRQC) to break elliptic curve cryptography specifically ECDSA and Schnorr signatures used in Bitcoin and Ethereum.

Breaking the 256-bit elliptic curve discrete logarithm problem (the core of Bitcoin’s signatures) could require fewer than 500,000 physical qubits on a superconducting quantum computer — roughly 20 times fewer than many prior estimates which often cited millions of qubits.

For a real-time on-spend or mempool attack: Once a transaction broadcasts and exposes the public key which happens during spending, a pre-primed quantum computer could derive the private key in about 9 minutes or 12 minutes in some scenarios. Bitcoin’s average block time is ~10 minutes, so this creates a narrow window where an attacker might steal funds before confirmation estimated ~41% success rate in their model with one machine; higher with parallelism.

This is not about cracking the blockchain’s hash functions (SHA-256 is more resistant via Grover’s algorithm) or stealing coins from dormant, unspent addresses without an exposed public key. The main vulnerability is when public keys are revealed — e.g., in legacy Pay-to-PubKey addresses, reused addresses, or certain Taproot spends.

Google also recently accelerated its own internal deadline for migrating systems to post-quantum cryptography (PQC) to 2029, citing faster progress in quantum hardware, error correction, and resource estimates. This is a theoretical analysis based on improved modeling of Shor’s algorithm implementations, error rates, and hardware assumptions.

No such quantum computer exists today: Current quantum machines are in the low thousands of noisy qubits. Fault-tolerant, large-scale systems with hundreds of thousands of high-quality qubits are still years away — estimates for Q-Day vary widely, but Google’s paper and timeline suggest the 2030s as a plausible risk horizon, not tomorrow.

The 9-minute figure assumes a machine already primed with partial pre-computation and ideal conditions. Real-world error correction, decoherence, and overhead would likely make it slower and more resource-intensive. Not all Bitcoin is equally at risk. Coins in addresses that have never spent are safer until spent.

Roughly 1/3 of BTC supply ~6.9 million coins may have exposed public keys or use vulnerable patterns, per various analyses. Taproot (Schnorr) can sometimes expose keys more readily in certain cases. Bitcoin’s core hash-based security holds up better against quantum than many other systems. The bigger near-term quantum risk to the world is harvest now, decrypt later attacks on stored encrypted data.

What This Means for Bitcoin and Crypto

The community has discussed quantum threats for years — this paper lowers the estimated difficulty and tightens the timeline, serving as a strong reminder for proactive upgrades rather than panic. Bitcoin is designed to evolve via soft forks; solutions include: Migrating to post-quantum signature schemes (NIST has standardized several PQC algorithms).

Best practices today: Avoid address reuse, move funds from legacy exposed addresses to new quantum-resistant ones when feasible. Ethereum has been planning PQC transitions for longer; Bitcoin developers and researchers are now getting louder calls to prioritize it.

Experts emphasize this is a long-term engineering challenge, not an imminent collapse. Similar warnings have circulated before without breaking crypto. That said, ignoring it would be reckless — the paper explicitly urges responsible disclosure and migration to safeguard cryptocurrency.

It’s a serious wake-up call that accelerates planning, but Bitcoin isn’t cracked yet. The protocol has survived many predicted deaths through upgrades. If you’re holding BTC, the practical advice remains timeless: Use fresh addresses, secure your keys, and watch for network proposals on quantum readiness.